Evidence map›Paper›PMID 42867699›Full record

ArticleJournal of molecular modeling2026

Construction and validation of pharmacophore model of calcitonin gene-related peptide receptor antagonists using ligand- and structure-based approaches.

Thangaraj Devadoss, Shvetank Bhatt, Punniyakoti Veeraveedu Thanikachalam, Pawan Gupta

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Thangaraj DevadossDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, 641021, India. tdevadoss@gmail.com.
Shvetank BhattSchool of Health Sciences and Technology, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, 411038, India.
Punniyakoti Veeraveedu ThanikachalamChettinad Institute of Pharmaceutical Sciences, Chettinad Academy of Research and Education, Nallur, Manamai Village, Tirukalukundram Taluk, Chengalpattu, Tamil Nadu, 603102, India.
Pawan GuptaDepartment of Pharmaceutical Chemistry, SVKM NMIMS Global University School of Pharmacy & Technology Management, Dhule, Maharashtra, 424001, India. pawanpharma79@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextCalcitonin gene-related peptide (CGRP) is a valid target for migraine disorder. Antagonizing the CGRP receptor elicits beneficial effects in migraine, although several CGRP receptor antagonists are currently available in clinical practice, a well-defined pharmacophore model has not yet been proposed. Particularly appropriate distances between the pharmacophoric elements are not reported. Therefore, a three-point pharmacophore model was constructed based on the common structural features present in the clinically available CGRP receptor antagonists. To evaluate the proposed pharmacophore elements and model, their presence is mapped onto the reported molecules, and the distances between the elements are measured. A total of 27 molecules is shortlisted based on CGRP receptor antagonistic potency. Among them, 21 molecules possessed the proposed pharmacophore elements, and in the remaining 6 molecules, only one pharmacophore element was not matched with the proposed model. The distances between the pharmacophore elements were measured; among the 21 molecules, only five molecules (3, HTL0022562, BMS-694153, 19, and BMS-846372) possessed slight to moderate deviations. Based on the proposed pharmacophore model, new molecules (T1-T5) were designed as CGRP receptor antagonists. To validate the proposed model, the clinically existing and designed molecules were docked into the active site of the CGRP receptor. In the designed molecules, T3 (-10.3 kcal/mol) followed by T5 (-9.8 kcal/mol) exhibited binding affinity. Though the docking score of these novel molecules is less as compared to standard molecules: 6ZHO-lig (-13.6 kcal/mol) and as Zavegepant (-11.3 kcal/mol). These molecules exhibit the common interactions (H-bonding with Thr2122 and pi-pi with Trp2121) as standard molecules. During MDS studies till 500 ns, standard molecules: 6ZHO-lig and Zavegepant followed the docking results of higher binding affinity as compared to novel designed molecules T3 and T5. However, different MDS parameters exhibited satisfactory stability of these molecules into the active site of CGRP. The T3 and T5 molecules displayed satisfactory pharmacokinetic properties in the SwissADME prediction tool. Further, optimization of these early-stage hits is required to improve the binding affinity and ADME profile. The ligand- and structure-based approaches support the reliability of the proposed pharmacophore model. In conclusion, the constructed pharmacophore model will serve as a template for the design of new molecules as CGRP receptor antagonists.

methodsThe most common structural features of clinically available CGRP receptor antagonists were considered as pharmacophoric elements of CGRP receptor antagonists. Using ACDLABS-2021 2.1/3D Viewer (CHARMM parameterization) software, the distances between pharmacophore elements were measured. The designed molecules were tested for binding mode analysis using molecular docking studies in the AutoDock Vina tool. The best docked molecules were further tested for stability studies using the Desmond tool. For pharmacokinetic studies, the SwissADME tool was used.

Indexed as

Calcitonin Gene-Related Peptide Receptor AntagonistsModels, MolecularReceptors, Calcitonin Gene-Related PeptideDrug DesignHumansLigandsMolecular Docking SimulationPharmacophoreProtein BindingStructure-Activity RelationshipCalcitonin Gene-Related Peptide Receptor AntagonistsLigandsReceptors, Calcitonin Gene-Related PeptideCalcitonin gene-related peptideCGRP receptor antagonistDockingLigand-based approachMigraineMolecular dynamic simulationsPharmacophore model

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.